Inference on the common mean direction of several Fisher-von Mises-Langevin populations with unknown concentration parameters

IF 1.2 4区数学 Q2 STATISTICS & PROBABILITY

Statistics Pub Date : 2024-08-14 DOI:10.1080/02331888.2024.2391416

Shreyashi Basak, Paavo Sattler, Somesh Kumar

引用次数: 0

Abstract

The problem of combining information from several samples for estimating or testing a common mean for normal populations has been extensively studied in the statistical literature. In this paper, w...

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推断具有未知浓度参数的若干费雪-冯-米塞斯-朗格文群体的共同平均方向

统计文献中广泛研究了结合来自多个样本的信息来估计或检验正态分布的共同均值的问题。在本文中，我们...

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来源期刊

Statistics 数学-统计学与概率论

CiteScore

1.00

自引率

0.00%

发文量

审稿时长

12 months

期刊介绍： Statistics publishes papers developing and analysing new methods for any active field of statistics, motivated by real-life problems. Papers submitted for consideration should provide interesting and novel contributions to statistical theory and its applications with rigorous mathematical results and proofs. Moreover, numerical simulations and application to real data sets can improve the quality of papers, and should be included where appropriate. Statistics does not publish papers which represent mere application of existing procedures to case studies, and papers are required to contain methodological or theoretical innovation. Topics of interest include, for example, nonparametric statistics, time series, analysis of topological or functional data. Furthermore the journal also welcomes submissions in the field of theoretical econometrics and its links to mathematical statistics.